Research

RadarCat presented at UIST2016

SACHI research project RadarCat (Radar Categorization for Input & Interaction), highlighted earlier this year in the University news, the Courier and Gizmodo and in a Google I/O ATAP 2016 session, will be presented at UIST2016 this week. RadarCat is a small, versatile radar-based system for material and object classification which enables new forms of everyday RadarCat presented at UIST2016

Acacia – The Smart Image Compressor

Today we are releasing Acacia – a machine learning enabled image compressor developed here in the School of Computer Science at the University of St Andrews. Acacia is the work of Oleksandr Murashko and Dr. John Thomson. Acacia (Advanced Content-Adaptive Compressor of ImAges) is an image compression tool targeting at those who want the best Acacia – The Smart Image Compressor

Visit by the new Principal and Vice-Chancellor ‌Professor Sally Mapstone

On Tuesday the 5th of October we were pleased to host our new Principal and Vice-Chancellor ‌Professor Sally Mapstone to visit the School of Computer Science. During this visit she was able to meet with staff and students, visit our teaching spaces and visit some of our research labs. We discussed our new Engineering Doctorate Visit by the new Principal and Vice-Chancellor ‌Professor Sally Mapstone

Aaron Quigley appointed as ACM SIGCHI Vice President for Conferences

Congratulations to Professor Aaron Quigley who has been appointed to the ACM SIGCHI Executive Committee, to serve as the Vice President for Conferences. The ACM Special Interest Group on Human Computer Interaction (SIGCHI) is the premier international society for professionals, academics and students who are interested in human-technology & human-computer interaction. SIGCHI sponsors or co-sponsors Aaron Quigley appointed as ACM SIGCHI Vice President for Conferences

PhD Viva Success: Michael Mauderer

Belated congratulations to Michael Mauderer, who successfully defended his thesis earlier this month. Micheal’s thesis, augmenting visual perception with gaze-contigent displays, was supervised by Dr Miguel Nacenta. Professor Aaron Quigley acted as internal examiner and Professor Hans Gellersen, from Lancaster University acted as external examiner.

Multi-modal Indoor Positioning: Trends and Challenges by Prof. Niki Trigoni, Oxford University

Abstract: GPS has enabled a number of location based services outdoors, but the problem of localisation remains open in GPS-denied environments, such as indoors and underground. In this talk, I will discuss the key challenges to accurate and robust position estimation, and will describe a variety of sensor modalities and algorithms developed at Oxford to Multi-modal Indoor Positioning: Trends and Challenges by Prof. Niki Trigoni, Oxford University